Successful and ongoing e-participation systems require prioritized cybersecurity measures. These measures protect user privacy while safeguarding against scams, harassment, and the spread of misinformation. This paper's proposed model investigates the moderating impact of cybersecurity protection mechanisms and citizen education levels on the relationship between VSN diffusion and e-participation initiatives. Furthermore, this research model is investigated across various phases of e-participation (e-information, e-consultation, and e-decision-making) and the five facets of cybersecurity (legal, technical, organizational, capacity development, and interoperability). E-participation, especially in e-consultation and e-decision-making, has risen due to the increased use of VSNs, a consequence of improved cybersecurity and public education initiatives, underscoring the differing importance of cybersecurity measures at the various stages of e-participation. Thus, recognizing the recent challenges such as manipulation of platforms, the spread of false information, and data breaches connected with the use of VSNs in online engagement, this study highlights the importance of regulations, policies, strategic alliances, technical frameworks, and research to secure cybersecurity, and equally emphasizes the need for education to empower the public for meaningful e-participation. coronavirus infected disease Drawing theoretical support from the Protection Motivation Theory, Structuration Theory, and Endogenous Growth Theory, this study utilizes publicly accessible data from 115 countries to develop its research model. This paper highlights theoretical and practical implications, notes the limitations, and recommends future research endeavors.

Real estate dealings, which encompass the purchase and sale of properties, are frequently burdensome, time-consuming, and labor-intensive, requiring many intermediaries and substantial transaction costs. Blockchain technology, a dependable system for transaction tracking in real estate, builds trust between those involved. Although blockchain technology promises benefits, widespread real estate adoption is currently underdeveloped. Accordingly, we delve into the variables affecting blockchain technology's uptake by real estate buyers and sellers. A model of research was formulated by leveraging the combined advantages of the unified theory of technology acceptance and use model and the technology readiness index model. The data gathered from 301 real estate buyers and sellers was analyzed with the partial least squares method. The study's findings indicate that real estate stakeholders ought to prioritize psychological over technological aspects when incorporating blockchain into their operations. This research contributes to the existing knowledge base, offering valuable insights for real estate stakeholders on the application of blockchain technology.

Societal work and daily life could be revolutionized through the Metaverse's potential to be the next prevalent computing paradigm. Forecasted benefits of the metaverse notwithstanding, its detrimental aspects have received limited exploration, with the majority of analyses relying on logical conclusions drawn from historical data pertaining to similar technologies, thereby highlighting a dearth of academic and expert insight. Through the lens of informed and multifaceted narratives, this investigation tackles the negative aspects of the subject, featuring leading academics and experts from varied disciplines. The metaverse's dark side, as perceived through various lenses, includes concerns about technological and consumer vulnerabilities, privacy issues, the potential for a diminished sense of reality, human-computer interface problems, identity theft, invasive advertising, the spread of misinformation and propaganda, phishing scams, financial crimes, potential for terrorist activities, instances of abuse, and pornography, social inclusion issues, effects on mental health, sexual harassment, and the unforeseen consequences of the metaverse. The paper's synthesis of common threads culminates in the formation of propositions, and insights into the implications for both policy and practice are expounded.

The sustainable development goals (SDGs) have long been identified as being inextricably linked to the advancements of ICT. Smad inhibitor This research delves into the interplay of ICT, gender disparity (as outlined in SDG 5), and income inequality (SDG 10). The Capabilities Approach allows us to view ICT as an institutional entity and explore its complex relationship with gender inequality and income inequality. Publicly available archival data forms the basis of this study's cross-lagged panel analysis, encompassing 86 countries over the period from 2013 to 2016 inclusive. The research's key achievements include demonstrating the interdependence of (a) ICTs and gender disparities, and (b) gender disparities and income inequality. Methodologically, we contribute to the field by utilizing cross-lagged panel data analysis to better understand the temporal relationships between information and communication technology (ICT), gender equality, and income disparity. Our research's implications for both practice and research are detailed.

Thanks to the introduction of novel methodologies for improving machine learning (ML) transparency, traditional decision-support-focused information systems require a significant upgrade in their ability to provide more practical insights for practitioners. Due to the multifaceted nature of human decision-making, employing insights gleaned from group-level analyses of machine learning models to tailor individual interventions could produce a range of outcomes. This research presents a hybrid machine learning framework which integrates existing predictive and explainable machine learning methods to build decision support systems. These systems aim at anticipating human choices and crafting individual interventions. The framework's purpose is to furnish actionable understanding, leading to the creation of customized interventions. A large and detailed dataset, integrating factors like demographics, education, finances, and socioeconomic status of freshman college students, served as the basis for examining student attrition. Feature importance scores were compared at both the group and individual levels. The results show that although group-level insights can be helpful in altering long-term plans, applying them as a standardized approach to designing and executing individual interventions typically yields unsatisfactory outcomes.

Data sharing and intercommunications are established across multiple systems with semantic interoperability. Decreasing ambiguity in healthcare information systems due to signs being used in different contexts for different purposes is achieved through the proposed ostensive information architecture in this study. The consensus-based approach inherent in ostensive information architecture, stemming from information systems re-design, can be strategically applied to other domains demanding information exchange across diverse systems. Recognizing the difficulties in deploying FHIR (Fast Health Interoperability Resources), a new method for semantic exchange is introduced, exceeding the current lexical model. An FHIR knowledge graph, acting as the core of a semantic engine, employs Neo4j for semantic interpretation, providing supporting examples. The effectiveness of the proposed information architecture has been demonstrated using the MIMIC III (Medical Information Mart for Intensive Care) datasets and diabetes datasets. From the standpoint of information system design, we further explore the advantages of separating semantic interpretation and data storage, along with the semantic reasoning that supports patient-centered care, as facilitated by the Semantic Engine.

The capability of information and communication technologies to elevate our lives and societal well-being is profound. Digital spaces have unfortunately become breeding grounds for the propagation of fake news and hateful content, thereby deepening societal rifts and undermining social unity. Acknowledged in the literature, this dark aspect of polarization, alongside the socio-technical character of fake news, necessitates a unique strategy to understand its intricacies. Recognizing the intricacy of this issue, this study adopts complexity theory and a configurational perspective to examine the effects of various disinformation campaigns and hate speech on polarizing societies throughout 177 countries in a comparative, cross-national study. The results solidify the crucial role disinformation and hate speech play in polarizing societies. Although the findings recognize the potential necessity of internet censorship and social media monitoring for controlling disinformation and reducing societal polarization, they also emphasize that these measures may ironically create an environment conducive to hate speech, thus fueling a vicious cycle of polarization. A discussion of the implications for theory and practice follows.

The duration of salmon farming in the Black Sea, confined to the winter months, spans only seven months, constrained by the elevated summer water temperatures. A potential solution for year-round salmon growth involves temporary cage submersion during the summer. The comparative economic performance of submerged and surface cages in Turkish Black Sea salmon farming was evaluated in this study, using an analysis of structural costs and returns. The temporary submersion of the cages yielded a remarkable 70% rise in economic profits, reflecting improved financial indicators, including a significant net profit increase to 685,652.5 USD per year and a substantially higher margin of safety (896%), as opposed to the traditional surface cage method (397,058.5 USD annual net profit and 884% margin of safety). Antidiabetic medications Both cage system profits, according to the What-if analysis, were affected by variations in sale price. The simulation projecting a 10% reduction in export market value predicted reduced revenues, and the submerged cage encountered less financial loss than its surface counterpart.